Travelled to:
1 × Canada
1 × Italy
1 × Japan
1 × Portugal
1 × The Netherlands
2 × France
3 × USA
5 × Germany
Collaborated with:
F.Catthoor A.Davoodi D.Novo C.J.Hogger B.Bougard L.V.d.Perre M.S.Hsiao Z.Zhang K.Huang T.Tan R.Fasthuber A.R.Butt M.Tehranipoor L.Xie Y.Park R.Ma H.Y.Huang Y.Zheng C.Huang X.Wu R.Yao X.Yan N.Sharma P.R.Panda P.Agrawal D.Subhraveti A.Khasymski P.Sarkar P.Raghavan W.Xu L.Zeng S.Meng J.Tan L.Zhang N.Fuller
Talks about:
applic (4) base (4) architectur (3) framework (3) parallel (3) instruct (3) baseband (3) process (3) effici (3) optim (3)
Person: Min Li
DBLP: Li:Min
Contributed to:
Wrote 20 papers:
- DATE-2014-SharmaPLAC #composition #data flow #energy #performance
- Energy efficient data flow transformation for Givens Rotation based QR Decomposition (NS, PRP, ML, PA, FC), pp. 1–4.
- HPDC-2014-LiZMTZBF #named #online #performance #pipes and filters
- MRONLINE: MapReduce online performance tuning (ML, LZ, SM, JT, LZ, ARB, NF), pp. 165–176.
- DATE-2013-LiD #approach #debugging #hybrid #performance
- A hybrid approach for fast and accurate trace signal selection for post-silicon debug (ML, AD), pp. 485–490.
- DATE-2012-LiDT #authentication #detection #framework #hardware #self
- A sensor-assisted self-authentication framework for hardware trojan detection (ML, AD, MT), pp. 1331–1336.
- DATE-2012-LiDX #process
- Custom on-chip sensors for post-silicon failing path isolation in the presence of process variations (ML, AD, LX), pp. 1591–1596.
- DATE-2012-LiH #analysis #logic #named #performance #reliability
- RAG: An efficient reliability analysis of logic circuits on graphics processing units (ML, MSH), pp. 316–319.
- HPDC-2012-LiSBKS #in the cloud #named #pipes and filters
- CAM: a topology aware minimum cost flow based resource manager for MapReduce applications in the cloud (ML, DS, ARB, AK, PS), pp. 211–222.
- ICPR-2012-LiPMH #classification #email #incremental #learning #using
- Business email classification using incremental subspace learning (ML, YP, RM, HYH), pp. 625–628.
- DAC-2010-NovoLFRC #data flow #finite #precise
- Exploiting finite precision information to guide data-flow mapping (DN, ML, RF, PR, FC), pp. 248–253.
- DATE-2010-LiZHH #logic #optimisation #synthesis
- Reversible logic synthesis through ant colony optimization (ML, YZ, MSH, CH), pp. 307–310.
- DATE-2009-LiFNBPC #architecture #co-evolution #design #detection #ml #parallel #set
- Algorithm-architecture co-design of soft-output ML MIMO detector for parallel application specific instruction set processors (ML, RF, DN, BB, LVdP, FC), pp. 1608–1613.
- DATE-2009-NovoLBPC #finite #precise
- Finite precision processing in wireless applications (DN, ML, BB, LVdP, FC), pp. 1230–1233.
- ICEIS-AIDSS-2009-LiH #aspect-oriented #framework #logic
- Formulating Aspects of Paypal in the Logic Framework of GBMF (ML, CJH), pp. 39–44.
- DAC-2008-LiBNPC #approach #how #implementation #power management #set
- How to let instruction set processor beat ASIC for low power wireless baseband implementation: a system level approach (ML, BB, DN, LVdP, FC), pp. 345–346.
- DATE-2008-LiBXNPC #architecture #detection #optimisation #parallel #programmable
- Optimizing Near-ML MIMO Detector for SDR Baseband on Parallel Programmable Architectures (ML, BB, WX, DN, LVdP, FC), pp. 444–449.
- DATE-2008-LiNBPC #architecture #multi
- Generic Multi-Phase Software-Pipelined Partial-FFT on Instruction-Level-Parallel Architectures and SDR Baseband Applications (ML, DN, BB, LVdP, FC), pp. 598–603.
- ICPR-2008-ZhangLHT #automation #classification
- Boosting local feature descriptors for automatic objects classification in traffic scene surveillance (ZZ, ML, KH, TT), pp. 1–4.
- ICPR-2008-ZhangLHT08a #3d #evaluation #locality #modelling #optimisation
- 3D model based vehicle localization by optimizing local gradient based fitness evaluation (ZZ, ML, KH, TT), pp. 1–4.
- ICEIS-EIS-2007-HoggerL #framework #modelling
- Generic Business Modelling Framework (CJH, ML), pp. 422–427.
- DATE-2005-LiWYY #named #performance #power management
- Q-DPM: An Efficient Model-Free Dynamic Power Management Technique (ML, XW, RY, XY), pp. 526–527.